Microsoft SQL server 2014 query tuning & optimization

著者

    • Nevarez, Benjamin

書誌事項

Microsoft SQL server 2014 query tuning & optimization

Benjamin Nevarez

Mcgraw-Hill Education, c2015

  • : [pbk.]

タイトル別名

Microsoft SQL server 2014 query tuning and optimization

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注記

Includes bibliographical references (p. [373]-379) and index

内容説明・目次

内容説明

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Optimize Microsoft SQL Server 2014 queries and applicationsMicrosoft SQL Server 2014 Query Tuning & Optimization is filled with ready-to-use techniques for creating high-performance queries and applications. The book describes the inner workings of the query processor so you can write better queries and provide the query processor with the quality information it needs to produce efficient execution plans. You'll also get tips for troubleshooting underperforming queries. In-Memory OLTP (Hekaton), a key new feature of SQL Server 2014, is fully covered in this practical guide. Understand how the query optimizer works Troubleshoot queries using extended events, SQL trace, dynamic management views (DMVs), the data collector, and other tools Work with query operators for data access, joins, aggregations, parallelism, and updates Speed up queries and dramatically improve application performance by creating the right indexes Understand statistics and how to detect and fix cardinality estimation errors Maximize OLTP query performance using In-Memory OLTP (Hekaton) features, including memory-optimized tables and natively compiled stored procedures Monitor and promote plan caching and reuse to improve application performance Improve the performance of data warehouse queries using columnstore indexes Handle query processor limitations with hints and other methods

目次

Chapter 1: An Introduction to Query Tuning and Optimization Chapter 2: Troubleshooting Queries Chapter 3: The Query Optimizer Chapter 4: Query Operators Chapter 5: Indexes Chapter 6: Statistics Chapter 7: Hekatron Chapter 8: Plan Caching Chapter 9: Data Warehouses Chapter 10: Query Processor Limitations & Hints

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